This article explores the role of smart textiles in transforming healthcare environments into spaces that prioritize patient well-being. We will examine the advantages of smart textiles in healthcare settings, such as...This article explores the role of smart textiles in transforming healthcare environments into spaces that prioritize patient well-being. We will examine the advantages of smart textiles in healthcare settings, such as the real-time monitoring of vital signs through connected clothing. Additionally, we will introduce metadesign as a design approach that considers the interactions between users, healthcare environments, and technologies to create fulfilling experiences. By combining the advanced features of smart textiles with a patient-centered metadesign approach, it becomes possible to create care spaces that cater to patient needs. The objective of this article is to present the integration of metadesign in the design of smart textiles as a process aimed at enhancing the quality of the patient user experience. In this process, we will emphasize the collaborative approach and embrace technological innovation to harness the potential for ongoing improvement and provide users with high-quality experiences. Lastly, we will underscore the significance of adopting a multidimensional approach to evaluate the impact of smart textiles on the patient user experience.展开更多
为进一步了解国内2014—2023年智慧体育领域的总体研究进展,以中国知网(CNKI)核心数据库作为数据来源,利用Cite Space 6.2R6软件绘制出了作者、科研机构、关键词聚类和突现等知识图谱,对国内2014—2023年智慧体育进行可视化分析,对智慧...为进一步了解国内2014—2023年智慧体育领域的总体研究进展,以中国知网(CNKI)核心数据库作为数据来源,利用Cite Space 6.2R6软件绘制出了作者、科研机构、关键词聚类和突现等知识图谱,对国内2014—2023年智慧体育进行可视化分析,对智慧体育研究动态及研究热点加以梳理,探讨发展趋势。研究显示,(1)2021年以来智慧体育的研究得到了越来越多学者的重视,发文数量骤增,开启了智慧体育研究的新篇章;(2)发文作者较多,但该领域核心作者群较少,合作关系不够密切;(3)研究机构以体育类院校为主、师范类与综合类院校为辅;(4)研究热点聚焦于体育产业高质量发展、智慧科技助力竞技体育、全民健身智慧化发展。展开更多
Context-awareness enhances human-centric, intelligent behavior in a smart environment; however context-awareness is not widely used due to the lack of effective infrastructure to support context-aware applications. Th...Context-awareness enhances human-centric, intelligent behavior in a smart environment; however context-awareness is not widely used due to the lack of effective infrastructure to support context-aware applications. This paper presents an agent-based middleware for providing context-aware services for smart spaces to afford effective support for context acquisition, representation, interpretation, and utilization to applications. The middleware uses a formal context model, which combines first order probabilistic logic （FOPL） and web ontology language （OWL） ontologies, to provide a common understanding of contextual information to facilitate context modeling and reasoning about imperfect and ambiguous contextual information and to enable context knowledge sharing and reuse. A context inference mechanism based on an extended Bayesian network approach is used to enable automated reactive and deductive reasoning. The middleware is used in a case study in a smart classroom, and performance evaluation result shows that the context reasoning algorithm is good for non-time-critical applications and that the complexity is highly sensitive to the size of the context dataset.展开更多
文摘This article explores the role of smart textiles in transforming healthcare environments into spaces that prioritize patient well-being. We will examine the advantages of smart textiles in healthcare settings, such as the real-time monitoring of vital signs through connected clothing. Additionally, we will introduce metadesign as a design approach that considers the interactions between users, healthcare environments, and technologies to create fulfilling experiences. By combining the advanced features of smart textiles with a patient-centered metadesign approach, it becomes possible to create care spaces that cater to patient needs. The objective of this article is to present the integration of metadesign in the design of smart textiles as a process aimed at enhancing the quality of the patient user experience. In this process, we will emphasize the collaborative approach and embrace technological innovation to harness the potential for ongoing improvement and provide users with high-quality experiences. Lastly, we will underscore the significance of adopting a multidimensional approach to evaluate the impact of smart textiles on the patient user experience.
文摘为进一步了解国内2014—2023年智慧体育领域的总体研究进展,以中国知网(CNKI)核心数据库作为数据来源,利用Cite Space 6.2R6软件绘制出了作者、科研机构、关键词聚类和突现等知识图谱,对国内2014—2023年智慧体育进行可视化分析,对智慧体育研究动态及研究热点加以梳理,探讨发展趋势。研究显示,(1)2021年以来智慧体育的研究得到了越来越多学者的重视,发文数量骤增,开启了智慧体育研究的新篇章;(2)发文作者较多,但该领域核心作者群较少,合作关系不够密切;(3)研究机构以体育类院校为主、师范类与综合类院校为辅;(4)研究热点聚焦于体育产业高质量发展、智慧科技助力竞技体育、全民健身智慧化发展。
基金Supported by the Basic Research Foundation of Tsinghua Na-tional Laboratory for Information Science and Technology (TNList)the National High-Tech Research and Development (863) Program of China (No. 2006AA01Z198)
文摘Context-awareness enhances human-centric, intelligent behavior in a smart environment; however context-awareness is not widely used due to the lack of effective infrastructure to support context-aware applications. This paper presents an agent-based middleware for providing context-aware services for smart spaces to afford effective support for context acquisition, representation, interpretation, and utilization to applications. The middleware uses a formal context model, which combines first order probabilistic logic （FOPL） and web ontology language （OWL） ontologies, to provide a common understanding of contextual information to facilitate context modeling and reasoning about imperfect and ambiguous contextual information and to enable context knowledge sharing and reuse. A context inference mechanism based on an extended Bayesian network approach is used to enable automated reactive and deductive reasoning. The middleware is used in a case study in a smart classroom, and performance evaluation result shows that the context reasoning algorithm is good for non-time-critical applications and that the complexity is highly sensitive to the size of the context dataset.
